An ML-Based Fleet Management System for Electric Vehicles Bosch Global Software Technologies

Format:

Book

Conference/Event

Contributor:

M H, Muneer

V A, Haseena

Conference Name:

10TH SAE India International Mobility Conference (2022-10-12 : Bangalore, India)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2022

Summary:

Considering the general trend towards electric mobility and the higher costs of electric vehicle ownership, the popularity of fleet operations of electric vehicles is on the rise. Fleet operators provide car sharing and/or rental and taxi services to customers. However, the major concerns of such operators are the battery health as well as the electric vehicle range, in other words, the distance the car can travel with the given battery charge. The scope covers the design of a management software for efficient deployment of fleet vehicles, taking into account the health of battery packs as well as driver behaviour, the latter of which is determined via machine learning by receiving acceleration patterns of the drivers. Hence, the goal of the fleet management system is to provide significant value addition to fleet owners in terms of economic benefits and ease of management

Notes:

Vendor supplied data

Publisher Number:

2022-28-0300

Access Restriction:

Restricted for use by site license